Platform Data Architect
Atlanta, GA - USA
Job Summary
- Atlanta
- Hybrid
Job Description
Join Speria Build Technology That Feeds the World
Were tackling one of humanitys biggest challenges: feeding a growing population sustainably. Our AI-powered platform gives producers real-time insight to boost yield improve animal welfare and protect the planet.
Join us and build technology that truly impacts the world.
Why This Role Matters
As a Platform Data Architect you will lead the design implementation and evolution of enterprise-grade data systems. You will architect modern data platforms semantic layers telemetry pipelines and agentic AI orchestration that power analytics AI and operational excellence. Your work directly shapes how data flows across the business and enables intelligent scalable and secure systems that support global customers.
What Youll Do (Job Summary)
Architect unified data models supporting modular monoliths and microservices-based platforms.
Design and implement data lakes data warehouses and streaming/batch ETL pipelines using Databricks SQL Server Azure Synapse and Delta Lake.
Define data governance metadata management and observability standards.
Develop ontology frameworks using OWL RDF SPARQL for semantic interoperability.
Integrate structured and unstructured data into semantic layers for AI and analytics.
Build and optimize high-volume ETL/ELT pipelines using Spark Python SQL.
Implement data lineage schema evolution and data quality monitoring.
Develop semantic telemetry pipelines for real-time analytics and AI agents.
Manage cloud-native data infrastructure including Azure Data Factory Event Hubs Blob Storage.
Prototype agentic AI workflows using orchestration frameworks.
Required Experience:
Staff IC
About Company
About the company Speria is a commercial brand for the integrated offering within Munters FoodTech business, bringing together technologies, software and services into one connected offering. Speria delivers operational intelligence solutions for food systems, helping producers and in ... View more